SPECIAL ISSUE ON BIOSTATISTICS AND BIOMETRY IN THE ERA OF DATA SCIENCE

Paulo Canas Rodrigues,Carlos Alberto De Bragança Pereira,Luiz Ricardo Nakamura

doi:10.28951/rbb.v39i1.556

Abstract

This special issue of the Brazilian Journal of Biometrics (BJB) contains 16 papers. The main topic of the special issue is "Biostatistics and Biometry in the Era of Data Science", and it is the result of a collaboration between the BJB and the Brazilian Region of the International Biometric Society (RBras) in the sequence of the cancelled 2020 RBras annual meeting due to the COVID-19 pandemic.

Highlights

This special issue of the Brazilian Journal of Biometrics (BJB) contains 16 papers
RBras seeks to stimulate the research activities of its members, encouraging and supporting scientific events with the following objectives: (i) to bring together researchers in the area of applied statistics, biometrics and biostatistics; (ii) to promote scientific events to discuss research topics in applied statistics; (iii) to publicize the methods developed in the area of statistics; and (iv) to offer courses on new topics in applied statistics
There are 16 papers in this special issue that cover a number of the topics related to “’Biostatistics and Biometry in the Era of Data Science” and another relevant areas

Summary

Introduction

This special issue of the Brazilian Journal of Biometrics (BJB) contains 16 papers. The main topic of the special issue is “Biostatistics and Biometry in the Era of Data Science”, and it is the result of a collaboration between the BJB and the Brazilian Region of the International Biometric Society (RBras) in the sequence of the cancelled 2020 RBras annual meeting due to the COVID-19 pandemic. There are 16 papers in this special issue that cover a number of the topics related to “’Biostatistics and Biometry in the Era of Data Science” and another relevant areas. A simulated data set was considered to access the convergence of the chains and to understand the learning process and the estimation.

Results

Conclusion